• Publications
  • Influence
HMM Based Part-of-Speech Tagger f or Bahasa Indonesia
TLDR
We improve the accuracy of HMM based POS tagger Bahasa Indonesia by using Hidden Markov Model (HMM), affix tree, succeeding POS tag and additional lexicon. Expand
  • 83
  • 11
Indonesian social media sentiment analysis with sarcasm detection
TLDR
We proposed two additional features to detect sarcasm after a common sentiment analysis is conducted. Expand
  • 62
  • 9
  • PDF
Eksperimen pada Sistem Klasifikasi Berita Hoax Berbahasa Indonesia Berbasis Pembelajaran Mesin
ABSTRAK Klasifikasi berita hoax atau berita dengan informasi yang tidak benar merupakan salah satu aplikasi kategorisasi teks. Seperti aplikasi kategorisasi teks berbasis pembelajaran mesin padaExpand
  • 18
  • 4
Sentiment classification for Indonesian message in social media
TLDR
We tried to identify the problems of classifying sentiment from Indonesian social media using text preprocessing, feature extraction, classification, and formalization. Expand
  • 35
  • 3
InaNLP: Indonesia natural language processing toolkit, case study: Complaint tweet classification
TLDR
This research discusses how natural language processing (NLP) toolkit for Indonesia formal text and social media text, named as InaNLP, has been developed. Expand
  • 25
  • 3
Detailed Analysis of Extrinsic Plagiarism Detection System Using Machine Learning Approach (Naive Bayes and SVM)
TLDR
We proposed a detailed analysis method of Extrinsic Plagiarism Detection system using machine learning approach. Expand
  • 9
  • 3
Experiments on the Indonesian plagiarism detection using latent semantic analysis
TLDR
We employed latent semantic analysis (LSA) as the term-document representation. Expand
  • 14
  • 2
Comparison on the rule based method and statistical based method on emotion classification for Indonesian Twitter text
TLDR
In this study, we conducted experiments on emotion classification of Indonesian Twitter text. Expand
  • 14
  • 2
A statistical and rule-based spelling and grammar checker for Indonesian text
TLDR
This paper proposes an Indonesian spelling and grammar checker prototype which uses a combination of rules and statistical methods to detect, correct, and explain common errors in Indonesian text. Expand
  • 4
  • 2
Study and Implementation of Monolingual Approach on Indonesian Question Answering for Factoid and Non-Factoid Question
TLDR
We developed an open domain QA system that can handle factoid and nonfactoid questions in Indonesian language by using monolingual approaches. Expand
  • 10
  • 2
  • PDF